{"schemaVersion":"jobsearcher.job.v1","id":"9be0ee60ffec02aadd1561af","url":"https://jobsearcher.com/jobs/9be0ee60ffec02aadd1561af","canonicalUrl":"https://jobsearcher.com/jobs/9be0ee60ffec02aadd1561af","title":"Python Consultant - Agentic AI","description":"Experience:8+ Years in Python Development with hands-on Agentic AI experience preferred\r\nJob SummaryHexaware Technology is seeking an experienced Python Consultant with expertise in Agentic AI, Generative AI, and Large Language Models (LLMs) to support its client, Citibank, in Irving, Texas.\r\nThe ideal candidate will have strong Python development skills and practical experience designing and implementing AI-powered agents, intelligent automation workflows, and LLM-based applications. The consultant will collaborate with engineering, architecture, and business teams to develop secure, scalable, and reliable AI solutions for enterprise banking environments.\r\nKey ResponsibilitiesDesign, develop, test, and maintain scalable Python applications and backend services.\r\nBuild and implement Agentic AI solutions capable of reasoning, planning, tool usage, and multi-step task execution.\r\nDevelop AI agents and orchestrated workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent technologies.\r\nIntegrate LLMs with enterprise applications, databases, APIs, and internal knowledge sources.\r\nDesign and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and contextual responses.\r\nDevelop RESTful APIs and microservices using FastAPI, Flask, or similar Python frameworks.\r\nImplement agent tool calling, workflow orchestration, memory management, state handling, and human-in-the-loop controls.\r\nApply prompt engineering, structured output generation, and AI evaluation techniques to improve response quality.\r\nImplement security, access controls, audit logging, data privacy, and guardrails suitable for enterprise banking applications.\r\nCollaborate with cross-functional teams to translate business requirements into technical solutions.\r\nTroubleshoot issues, optimize application performance, and support deployment and production operations.\r\nFollow enterprise software development standards, code review practices, testing procedures, and CI/CD processes.\r\nRequired Technical SkillsPython DevelopmentStrong hands-on experience with Python programming, object-oriented design, and asynchronous programming.\r\nExperience with FastAPI, Flask, or Django.\r\nKnowledge of REST APIs, microservices, SQL/NoSQL databases, Git, and unit testing.\r\nAgentic AI and Generative AIHands-on experience building and deploying AI agents and autonomous workflows.\r\nStrong understanding of LLMs, prompt engineering, function/tool calling, and structured outputs.\r\nExperience with LangGraph, LangChain, CrewAI, AutoGen, or equivalent agent frameworks.\r\nUnderstanding of multi-agent orchestration, state management, memory, and workflow execution.\r\nRAG and Enterprise AIExperience building RAG solutions, embeddings, document processing, and semantic search.\r\nFamiliarity with vector databases such as FAISS, Pinecone, Chroma, or equivalent.\r\nKnowledge of retrieval optimization, grounding, hallucination mitigation, and AI response evaluation.\r\nCloud, DevOps, and DeploymentExperience with AWS, Microsoft Azure, or GCP.\r\nFamiliarity with Docker, CI/CD pipelines, application monitoring, and production deployments.\r\nUnderstanding of API integration, secrets management, and secure application architecture.\r\nSecurity and QualityExperience implementing authentication, authorization, and secure API integrations.\r\nUnderstanding of responsible AI, prompt injection risks, data protection, and auditability.\r\nStrong debugging, testing, documentation, and problem-solving skills.\r\nPreferred QualificationsExperience delivering Agentic AI solutions in enterprise or financial services environments.\r\nFamiliarity with Model Context Protocol (MCP) and integrations with external tools.\r\nExperience with LLM observability, tracing, and AI evaluation frameworks.\r\nKnowledge of banking workflows, enterprise risk controls, and regulated application environments.\r\nStrong communication skills and the ability to collaborate with technical and business stakeholders.\r\nEducationBachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.#J-18808-Ljbffr","company":"Apriden","rawCompany":"apriden","city":"Irving","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:54:43.905Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Consultant - Agentic AI","description":"Experience:8+ Years in Python Development with hands-on Agentic AI experience preferred\r\nJob SummaryHexaware Technology is seeking an experienced Python Consultant with expertise in Agentic AI, Generative AI, and Large Language Models (LLMs) to support its client, Citibank, in Irving, Texas.\r\nThe ideal candidate will have strong Python development skills and practical experience designing and implementing AI-powered agents, intelligent automation workflows, and LLM-based applications. The consultant will collaborate with engineering, architecture, and business teams to develop secure, scalable, and reliable AI solutions for enterprise banking environments.\r\nKey ResponsibilitiesDesign, develop, test, and maintain scalable Python applications and backend services.\r\nBuild and implement Agentic AI solutions capable of reasoning, planning, tool usage, and multi-step task execution.\r\nDevelop AI agents and orchestrated workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent technologies.\r\nIntegrate LLMs with enterprise applications, databases, APIs, and internal knowledge sources.\r\nDesign and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and contextual responses.\r\nDevelop RESTful APIs and microservices using FastAPI, Flask, or similar Python frameworks.\r\nImplement agent tool calling, workflow orchestration, memory management, state handling, and human-in-the-loop controls.\r\nApply prompt engineering, structured output generation, and AI evaluation techniques to improve response quality.\r\nImplement security, access controls, audit logging, data privacy, and guardrails suitable for enterprise banking applications.\r\nCollaborate with cross-functional teams to translate business requirements into technical solutions.\r\nTroubleshoot issues, optimize application performance, and support deployment and production operations.\r\nFollow enterprise software development standards, code review practices, testing procedures, and CI/CD processes.\r\nRequired Technical SkillsPython DevelopmentStrong hands-on experience with Python programming, object-oriented design, and asynchronous programming.\r\nExperience with FastAPI, Flask, or Django.\r\nKnowledge of REST APIs, microservices, SQL/NoSQL databases, Git, and unit testing.\r\nAgentic AI and Generative AIHands-on experience building and deploying AI agents and autonomous workflows.\r\nStrong understanding of LLMs, prompt engineering, function/tool calling, and structured outputs.\r\nExperience with LangGraph, LangChain, CrewAI, AutoGen, or equivalent agent frameworks.\r\nUnderstanding of multi-agent orchestration, state management, memory, and workflow execution.\r\nRAG and Enterprise AIExperience building RAG solutions, embeddings, document processing, and semantic search.\r\nFamiliarity with vector databases such as FAISS, Pinecone, Chroma, or equivalent.\r\nKnowledge of retrieval optimization, grounding, hallucination mitigation, and AI response evaluation.\r\nCloud, DevOps, and DeploymentExperience with AWS, Microsoft Azure, or GCP.\r\nFamiliarity with Docker, CI/CD pipelines, application monitoring, and production deployments.\r\nUnderstanding of API integration, secrets management, and secure application architecture.\r\nSecurity and QualityExperience implementing authentication, authorization, and secure API integrations.\r\nUnderstanding of responsible AI, prompt injection risks, data protection, and auditability.\r\nStrong debugging, testing, documentation, and problem-solving skills.\r\nPreferred QualificationsExperience delivering Agentic AI solutions in enterprise or financial services environments.\r\nFamiliarity with Model Context Protocol (MCP) and integrations with external tools.\r\nExperience with LLM observability, tracing, and AI evaluation frameworks.\r\nKnowledge of banking workflows, enterprise risk controls, and regulated application environments.\r\nStrong communication skills and the ability to collaborate with technical and business stakeholders.\r\nEducationBachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.#J-18808-Ljbffr","datePosted":"2026-11-04T02:54:43.905Z","dateModified":"2026-11-04T02:54:43.905Z","hiringOrganization":{"@type":"Organization","name":"Apriden","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irving","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9be0ee60ffec02aadd1561af"},"url":"https://jobsearcher.com/jobs/9be0ee60ffec02aadd1561af"}}